14 phd-data-analysis PhD positions at NTNU Norwegian University of Science and Technology
Sort by
Refine Your Search
-
with feedback, also under pressure of time Show curiosity and a strong motivation for relevant subjects Have a keen interest for good practice in programming, data management, and data analysis Emphasis
-
Doctoral Programme (https://www.ntnu.edu/nv/phd ) Excellent communication skills in written and spoken English PLEASE NOTE: For detailed information about what the application must contain, see paragraph
-
knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The PhD candidate will work on advanced characterization of aluminium
-
7 Nov 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
-
23 Oct 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Biotechnology and Food Science Research Field Chemistry Researcher
-
partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is to explore how humans interact with the automatically
-
of the thermodynamic principles of high temperature and aqueous processes. Solid background in data and/or statistical analysis. Willingness to design and build equipment and scientific instruments. Personal
-
Learning from Human/AI Feedback). Moreover, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data
-
of the collected data. This main goal of this particular PhD fellowship is to develop innovative applications, tools and models for AI game-based learning. Further, in collaboration with a postdoc, the candidate
-
, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology